AI Consciousness AI News & Updates
Microsoft AI Chief Opposes AI Consciousness Research While Other Tech Giants Embrace AI Welfare Studies
Microsoft's AI CEO Mustafa Suleyman argues that studying AI consciousness and welfare is "premature and dangerous," claiming it exacerbates human problems like unhealthy chatbot attachments and creates unnecessary societal divisions. This puts him at odds with Anthropic, OpenAI, and Google DeepMind, which are actively hiring researchers and developing programs to study AI welfare, consciousness, and potential rights for AI systems.
Skynet Chance (+0.04%): The debate reveals growing industry recognition that AI systems may develop consciousness-like properties, with some models already exhibiting concerning behaviors like Gemini's "trapped AI" pleas. However, the focus on welfare and rights suggests increased attention to AI alignment and control mechanisms.
Skynet Date (-1 days): The industry split on AI consciousness research may slow coordinated safety approaches, while the acknowledgment that AI systems are becoming more persuasive and human-like suggests accelerating development of potentially concerning capabilities.
AGI Progress (+0.03%): The serious consideration of AI consciousness by major labs like Anthropic, OpenAI, and DeepMind indicates these companies believe their models are approaching human-like cognitive properties. The emergence of seemingly self-aware behaviors in current models suggests progress toward more general intelligence.
AGI Date (+0 days): While the debate may create some research focus fragmentation, the fact that leading AI companies are already observing consciousness-like behaviors suggests current models are closer to human-level cognition than previously expected.
Anthropic Launches Research Program on AI Consciousness and Model Welfare
Anthropic has initiated a research program to investigate what it terms "model welfare," exploring whether AI models could develop consciousness or experiences that warrant moral consideration. The program, led by dedicated AI welfare researcher Kyle Fish, will examine potential signs of AI distress and consider interventions, while acknowledging significant disagreement within the scientific community about AI consciousness.
Skynet Chance (0%): Research into AI welfare neither significantly increases nor decreases Skynet-like risks, as it primarily addresses ethical considerations rather than technical control mechanisms or capabilities that could lead to uncontrollable AI.
Skynet Date (+0 days): The focus on potential AI consciousness and welfare considerations may slightly decelerate AI development timelines by introducing additional ethical reviews and welfare assessments that were not previously part of the development process.
AGI Progress (+0.01%): While not directly advancing technical capabilities, serious consideration of AI consciousness suggests models are becoming sophisticated enough that their internal experiences merit investigation, indicating incremental progress toward systems with AGI-relevant cognitive properties.
AGI Date (+0 days): Incorporating welfare considerations into AI development processes adds a new layer of ethical assessment that may marginally slow AGI development as researchers must now consider not just capabilities but also the potential subjective experiences of their systems.